An Analysis of Gabor Detection
ICIAR '09 Proceedings of the 6th International Conference on Image Analysis and Recognition
Fast parallel approach for 2-D DHT-based real-valued discrete Gabor transform
IEEE Transactions on Image Processing
HCI for m-learning in image processing by handhelds
Proceedings of the 2007 conference on Human interface: Part II
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An adaptive learning approach for the computation of the coefficients of the generalized nonorthogonal 2-D Gabor (1946) transform representation is introduced. The algorithm uses a recursive least squares (RLS) type algorithm. The aim is to achieve minimum mean squared error for the reconstructed image from the set of the Gabor coefficients. The proposed RLS learning offers better accuracy and faster convergence behavior when compared with the least mean squares (LMS)-based algorithms. Applications of this scheme in image data reduction are also demonstrated